Pandas Profiling Report

Dataset statistics

Number of variables	44
Number of observations	36293
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	5.8 MiB
Average record size in memory	168.0 B

Variable types

Numeric	17
Categorical	27

Warnings

`loan_amnt` is highly correlated with `installment`	High correlation
`int_rate` is highly correlated with `grade` and 1 other fields	High correlation
`installment` is highly correlated with `loan_amnt`	High correlation
`grade` is highly correlated with `int_rate` and 1 other fields	High correlation
`open_acc` is highly correlated with `total_acc`	High correlation
`revol_util` is highly correlated with `fico_average`	High correlation
`total_acc` is highly correlated with `open_acc`	High correlation
`fico_average` is highly correlated with `int_rate` and 2 other fields	High correlation
`loan_amnt` is highly correlated with `installment`	High correlation
`int_rate` is highly correlated with `grade` and 1 other fields	High correlation
`installment` is highly correlated with `loan_amnt`	High correlation
`grade` is highly correlated with `int_rate` and 1 other fields	High correlation
`open_acc` is highly correlated with `total_acc`	High correlation
`revol_util` is highly correlated with `fico_average`	High correlation
`total_acc` is highly correlated with `open_acc`	High correlation
`fico_average` is highly correlated with `int_rate` and 2 other fields	High correlation
`loan_amnt` is highly correlated with `installment`	High correlation
`int_rate` is highly correlated with `grade` and 1 other fields	High correlation
`installment` is highly correlated with `loan_amnt`	High correlation
`grade` is highly correlated with `int_rate` and 1 other fields	High correlation
`open_acc` is highly correlated with `total_acc`	High correlation
`total_acc` is highly correlated with `open_acc`	High correlation
`fico_average` is highly correlated with `int_rate` and 1 other fields	High correlation
`region_Pacific` is highly correlated with `region_South`	High correlation
`region_Northeast` is highly correlated with `region_South`	High correlation
`revol_util` is highly correlated with `revol_bal`	High correlation
`verification_status_Source Verified` is highly correlated with `verification_status_Verified`	High correlation
`term` is highly correlated with `int_rate`	High correlation
`int_rate` is highly correlated with `term` and 2 other fields	High correlation
`loan_status` is highly correlated with `last_credit_pull_d_month`	High correlation
`purpose_debt_consolidation` is highly correlated with `purpose_credit_card`	High correlation
`grade` is highly correlated with `int_rate` and 1 other fields	High correlation
`last_credit_pull_d_month` is highly correlated with `loan_status`	High correlation
`open_acc` is highly correlated with `total_acc`	High correlation
`installment` is highly correlated with `loan_amnt`	High correlation
`verification_status_Verified` is highly correlated with `verification_status_Source Verified` and 1 other fields	High correlation
`purpose_credit_card` is highly correlated with `purpose_debt_consolidation`	High correlation
`revol_bal` is highly correlated with `revol_util`	High correlation
`region_South` is highly correlated with `region_Pacific` and 1 other fields	High correlation
`loan_amnt` is highly correlated with `installment` and 1 other fields	High correlation
`total_acc` is highly correlated with `open_acc`	High correlation
`fico_average` is highly correlated with `int_rate` and 1 other fields	High correlation
`df_index` has unique values	Unique
`grade` has 9374 (25.8%) zeros	Zeros
`emp_length` has 3105 (8.6%) zeros	Zeros
`delinq_2yrs` has 32338 (89.1%) zeros	Zeros
`inq_last_6mths` has 17611 (48.5%) zeros	Zeros
`revol_bal` has 880 (2.4%) zeros	Zeros
`revol_util` has 887 (2.4%) zeros	Zeros
`earliest_cr_line_month` has 2473 (6.8%) zeros	Zeros
`last_credit_pull_d_month` has 1965 (5.4%) zeros	Zeros

Reproduction

Analysis started	2021-08-09 00:59:44.712773
Analysis finished	2021-08-09 01:02:51.272521
Duration	3 minutes and 6.56 seconds
Software version	pandas-profiling v3.0.0
Download configuration	config.json

df_index
Real number (ℝ_≥0)

UNIQUE

Distinct	36293
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	20369.09889

Minimum	0
Maximum	39734
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	283.7 KiB

Quantile statistics

Minimum	0
5-th percentile	2099.2
Q1	10659
median	20618
Q3	30242
95-th percentile	37836.4
Maximum	39734
Range	39734
Interquartile range (IQR)	19583

Descriptive statistics

Standard deviation	11405.49018
Coefficient of variation (CV)	0.5599408321
Kurtosis	-1.179397689
Mean	20369.09889
Median Absolute Deviation (MAD)	9792
Skewness	-0.05433916836
Sum	739255706
Variance	130085206.3
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2047	1	< 0.1%
25894	1	< 0.1%
15661	1	< 0.1%
13612	1	< 0.1%
1322	1	< 0.1%
7465	1	< 0.1%
5416	1	< 0.1%
27943	1	< 0.1%
32037	1	< 0.1%
11567	1	< 0.1%
Other values (36283)	36283	> 99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%
10	1	< 0.1%

Value	Count	Frequency (%)
39734	1	< 0.1%
39733	1	< 0.1%
39732	1	< 0.1%
39731	1	< 0.1%
39730	1	< 0.1%
39727	1	< 0.1%
39726	1	< 0.1%
39725	1	< 0.1%
39724	1	< 0.1%
39723	1	< 0.1%

loan_amnt
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	846
Distinct (%)	2.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10615.8481

Minimum	500
Maximum	33425
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	283.7 KiB

Quantile statistics

Minimum	500
5-th percentile	2400
Q1	5250
median	9600
Q3	15000
95-th percentile	25000
Maximum	33425
Range	32925
Interquartile range (IQR)	9750

Descriptive statistics

Standard deviation	6600.741195
Coefficient of variation (CV)	0.6217818053
Kurtosis	0.03553042153
Mean	10615.8481
Median Absolute Deviation (MAD)	4600
Skewness	0.8294382842
Sum	385280975
Variance	43569784.32
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10000	2685	7.4%
12000	2208	6.1%
5000	1906	5.3%
6000	1812	5.0%
15000	1775	4.9%
8000	1515	4.2%
20000	1478	4.1%
25000	1211	3.3%
4000	1084	3.0%
7000	974	2.7%
Other values (836)	19645	54.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
500	4	< 0.1%
725	1	< 0.1%
750	1	< 0.1%
800	1	< 0.1%
900	2	< 0.1%
950	1	< 0.1%
1000	264	0.7%
1050	4	< 0.1%
1075	1	< 0.1%
1100	3	< 0.1%

Value	Count	Frequency (%)
33425	2	< 0.1%
33000	5	< 0.1%
32875	1	< 0.1%
32525	1	< 0.1%
32500	2	< 0.1%
32400	2	< 0.1%
32350	3	< 0.1%
32250	1	< 0.1%
32000	21	0.1%
31825	6	< 0.1%

term
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.7 KiB

36	27189
60	9104

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	72586
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	36
2nd row	60
3rd row	36
4th row	36
5th row	36

Common Values

Value	Count	Frequency (%)
36	27189	74.9%
60	9104	25.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
36	27189	74.9%
60	9104	25.1%

Most occurring characters

Value	Count	Frequency (%)
6	36293	50.0%
3	27189	37.5%
0	9104	12.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72586	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
6	36293	50.0%
3	27189	37.5%
0	9104	12.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	72586	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
6	36293	50.0%
3	27189	37.5%
0	9104	12.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	72586	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
6	36293	50.0%
3	27189	37.5%
0	9104	12.5%

int_rate
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	363
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11.91459813

Minimum	5.42
Maximum	22.94
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	283.7 KiB

Quantile statistics

Minimum	5.42
5-th percentile	6.17
Q1	8.94
median	11.78
Q3	14.35
95-th percentile	18.25
Maximum	22.94
Range	17.52
Interquartile range (IQR)	5.41

Descriptive statistics

Standard deviation	3.636127727
Coefficient of variation (CV)	0.3051825741
Kurtosis	-0.4941361328
Mean	11.91459813
Median Absolute Deviation (MAD)	2.57
Skewness	0.2616253431
Sum	432416.51
Variance	13.22142485
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10.99	891	2.5%
11.49	771	2.1%
7.51	736	2.0%
13.49	730	2.0%
7.88	687	1.9%
7.49	614	1.7%
9.99	562	1.5%
7.9	525	1.4%
11.71	517	1.4%
5.42	514	1.4%
Other values (353)	29746	82.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
5.42	514	1.4%
5.79	383	1.1%
5.99	323	0.9%
6	18	< 0.1%
6.03	403	1.1%
6.17	229	0.6%
6.39	52	0.1%
6.54	297	0.8%
6.62	367	1.0%
6.76	157	0.4%

Value	Count	Frequency (%)
22.94	2	< 0.1%
22.85	7	< 0.1%
22.74	9	< 0.1%
22.64	1	< 0.1%
22.48	11	< 0.1%
22.35	14	< 0.1%
22.11	23	0.1%
22.06	22	0.1%
21.82	2	< 0.1%
21.74	25	0.1%

installment
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	14333
Distinct (%)	39.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	309.9563985

Minimum	15.69
Maximum	948.47
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	283.7 KiB

Quantile statistics

Minimum	15.69
5-th percentile	71.2
Q1	165.38
median	274.45
Q3	410.02
95-th percentile	684.04
Maximum	948.47
Range	932.78
Interquartile range (IQR)	244.64

Descriptive statistics

Standard deviation	188.0442444
Coefficient of variation (CV)	0.6066796663
Kurtosis	0.4188843934
Mean	309.9563985
Median Absolute Deviation (MAD)	117.99
Skewness	0.9113804374
Sum	11249247.57
Variance	35360.63785
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
311.11	67	0.2%
311.02	54	0.1%
180.96	53	0.1%
150.8	46	0.1%
368.45	45	0.1%
339.31	42	0.1%
372.12	41	0.1%
186.61	41	0.1%
330.76	40	0.1%
317.72	39	0.1%
Other values (14323)	35825	98.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
15.69	1	< 0.1%
16.25	1	< 0.1%
16.31	1	< 0.1%
16.47	1	< 0.1%
19.87	1	< 0.1%
20.22	1	< 0.1%
21.25	1	< 0.1%
21.74	1	< 0.1%
21.81	1	< 0.1%
21.99	1	< 0.1%

Value	Count	Frequency (%)
948.47	1	< 0.1%
946.89	2	< 0.1%
945.94	1	< 0.1%
945.35	2	< 0.1%
943.3	1	< 0.1%
939.26	1	< 0.1%
938.71	5	< 0.1%
938.31	1	< 0.1%
935.83	1	< 0.1%
934.55	1	< 0.1%

grade
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.54219822

Minimum	0
Maximum	6
Zeros	9374
Zeros (%)	25.8%
Negative	0
Negative (%)	0.0%
Memory size	141.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	2
95-th percentile	4
Maximum	6
Range	6
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.359563724
Coefficient of variation (CV)	0.8815752126
Kurtosis	0.06126521134
Mean	1.54219822
Median Absolute Deviation (MAD)	1
Skewness	0.7893241789
Sum	55971
Variance	1.848413519
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
1	11102	30.6%
0	9374	25.8%
2	7458	20.5%
3	4810	13.3%
4	2447	6.7%
5	877	2.4%
6	225	0.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	9374	25.8%
1	11102	30.6%
2	7458	20.5%
3	4810	13.3%
4	2447	6.7%
5	877	2.4%
6	225	0.6%

Value	Count	Frequency (%)
6	225	0.6%
5	877	2.4%
4	2447	6.7%
3	4810	13.3%
2	7458	20.5%
1	11102	30.6%
0	9374	25.8%

emp_length
Real number (ℝ_≥0)

ZEROS

Distinct	11
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.035020527

Minimum	0
Maximum	10
Zeros	3105
Zeros (%)	8.6%
Negative	0
Negative (%)	0.0%
Memory size	141.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	3
Q3	6
95-th percentile	10
Maximum	10
Range	10
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	3.227703059
Coefficient of variation (CV)	0.7999223392
Kurtosis	-0.8817151312
Mean	4.035020527
Median Absolute Deviation (MAD)	2
Skewness	0.6181271588
Sum	146443
Variance	10.41806704
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
1	8014	22.1%
10	4376	12.1%
2	4181	11.5%
3	3905	10.8%
4	3266	9.0%
5	3121	8.6%
0	3105	8.6%
6	2103	5.8%
7	1660	4.6%
8	1373	3.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	3105	8.6%
1	8014	22.1%
2	4181	11.5%
3	3905	10.8%
4	3266	9.0%
5	3121	8.6%
6	2103	5.8%
7	1660	4.6%
8	1373	3.8%
9	1189	3.3%

Value	Count	Frequency (%)
10	4376	12.1%
9	1189	3.3%
8	1373	3.8%
7	1660	4.6%
6	2103	5.8%
5	3121	8.6%
4	3266	9.0%
3	3905	10.8%
2	4181	11.5%
1	8014	22.1%

annual_inc
Real number (ℝ_≥0)

Distinct	4770
Distinct (%)	13.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	64296.72563

Minimum	4000
Maximum	262000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	283.7 KiB

Quantile statistics

Minimum	4000
5-th percentile	24000
Q1	40000
median	57000
Q3	80000
95-th percentile	130000
Maximum	262000
Range	258000
Interquartile range (IQR)	40000

Descriptive statistics

Standard deviation	34193.39218
Coefficient of variation (CV)	0.5318061199
Kurtosis	3.700691557
Mean	64296.72563
Median Absolute Deviation (MAD)	18000
Skewness	1.552907374
Sum	2333521063
Variance	1169188069
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
60000	1437	4.0%
50000	1014	2.8%
40000	845	2.3%
45000	802	2.2%
30000	780	2.1%
65000	756	2.1%
75000	754	2.1%
70000	690	1.9%
48000	689	1.9%
55000	633	1.7%
Other values (4760)	27893	76.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
4000	1	< 0.1%
4080	1	< 0.1%
4800	1	< 0.1%
5000	1	< 0.1%
5500	1	< 0.1%
6000	5	< 0.1%
7000	1	< 0.1%
7200	3	< 0.1%
7500	1	< 0.1%
7800	1	< 0.1%

Value	Count	Frequency (%)
262000	1	< 0.1%
260735	1	< 0.1%
260000	6	< 0.1%
259000	1	< 0.1%
258000	1	< 0.1%
255000	1	< 0.1%
252000	1	< 0.1%
250000	28	0.1%
249999.96	1	< 0.1%
249996	3	< 0.1%

loan_status
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.7 KiB

1	31183
0	5110

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	36293
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	31183	85.9%
0	5110	14.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	31183	85.9%
0	5110	14.1%

Most occurring characters

Value	Count	Frequency (%)
1	31183	85.9%
0	5110	14.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	36293	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	31183	85.9%
0	5110	14.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	36293	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	31183	85.9%
0	5110	14.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	36293	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	31183	85.9%
0	5110	14.1%

dti
Real number (ℝ_≥0)

Distinct	2845
Distinct (%)	7.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	13.30177197

Minimum	0
Maximum	29.99
Zeros	162
Zeros (%)	0.4%
Negative	0
Negative (%)	0.0%
Memory size	283.7 KiB

Quantile statistics

Minimum	0
5-th percentile	2.16
Q1	8.17
median	13.39
Q3	18.57
95-th percentile	23.82
Maximum	29.99
Range	29.99
Interquartile range (IQR)	10.4

Descriptive statistics

Standard deviation	6.66047643
Coefficient of variation (CV)	0.5007209901
Kurtosis	-0.851497575
Mean	13.30177197
Median Absolute Deviation (MAD)	5.2
Skewness	-0.0257830506
Sum	482761.21
Variance	44.36194627
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	162	0.4%
18	42	0.1%
12	41	0.1%
13.2	38	0.1%
16.8	37	0.1%
12.48	36	0.1%
19.2	35	0.1%
14.29	34	0.1%
20.4	33	0.1%
21.6	33	0.1%
Other values (2835)	35802	98.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	162	0.4%
0.01	2	< 0.1%
0.02	5	< 0.1%
0.03	1	< 0.1%
0.04	3	< 0.1%
0.05	1	< 0.1%
0.06	1	< 0.1%
0.07	5	< 0.1%
0.08	5	< 0.1%
0.09	1	< 0.1%

Value	Count	Frequency (%)
29.99	1	< 0.1%
29.95	1	< 0.1%
29.93	3	< 0.1%
29.92	2	< 0.1%
29.89	1	< 0.1%
29.88	1	< 0.1%
29.86	1	< 0.1%
29.85	1	< 0.1%
29.82	1	< 0.1%
29.79	1	< 0.1%

delinq_2yrs
Real number (ℝ_≥0)

ZEROS

Distinct	11
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.1474389001

Minimum	0
Maximum	11
Zeros	32338
Zeros (%)	89.1%
Negative	0
Negative (%)	0.0%
Memory size	283.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	11
Range	11
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.4954341971
Coefficient of variation (CV)	3.36026786
Kurtosis	40.4189354
Mean	0.1474389001
Median Absolute Deviation (MAD)	0
Skewness	5.074990062
Sum	5351
Variance	0.2454550437
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
0	32338	89.1%
1	3029	8.3%
2	625	1.7%
3	205	0.6%
4	57	0.2%
5	21	0.1%
6	10	< 0.1%
7	4	< 0.1%
8	2	< 0.1%
11	1	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	32338	89.1%
1	3029	8.3%
2	625	1.7%
3	205	0.6%
4	57	0.2%
5	21	0.1%
6	10	< 0.1%
7	4	< 0.1%
8	2	< 0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
11	1	< 0.1%
9	1	< 0.1%
8	2	< 0.1%
7	4	< 0.1%
6	10	< 0.1%
5	21	0.1%
4	57	0.2%
3	205	0.6%
2	625	1.7%
1	3029	8.3%

inq_last_6mths
Real number (ℝ_≥0)

ZEROS

Distinct	9
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.8683492685

Minimum	0
Maximum	8
Zeros	17611
Zeros (%)	48.5%
Negative	0
Negative (%)	0.0%
Memory size	283.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	1
95-th percentile	3
Maximum	8
Range	8
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.064322947
Coefficient of variation (CV)	1.225685315
Kurtosis	2.350606972
Mean	0.8683492685
Median Absolute Deviation (MAD)	1
Skewness	1.35523876
Sum	31515
Variance	1.132783335
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
0	17611	48.5%
1	10044	27.7%
2	5321	14.7%
3	2807	7.7%
4	285	0.8%
5	134	0.4%
6	51	0.1%
7	28	0.1%
8	12	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	17611	48.5%
1	10044	27.7%
2	5321	14.7%
3	2807	7.7%
4	285	0.8%
5	134	0.4%
6	51	0.1%
7	28	0.1%
8	12	< 0.1%

Value	Count	Frequency (%)
8	12	< 0.1%
7	28	0.1%
6	51	0.1%
5	134	0.4%
4	285	0.8%
3	2807	7.7%
2	5321	14.7%
1	10044	27.7%
0	17611	48.5%

open_acc
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	39
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	9.201636679

Minimum	2
Maximum	42
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	283.7 KiB

Quantile statistics

Minimum	2
5-th percentile	3
Q1	6
median	9
Q3	12
95-th percentile	17
Maximum	42
Range	40
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	4.343524842
Coefficient of variation (CV)	0.4720382899
Kurtosis	1.686392541
Mean	9.201636679
Median Absolute Deviation (MAD)	3
Skewness	1.010533437
Sum	333955
Variance	18.86620806
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=39)

Value	Count	Frequency (%)
7	3737	10.3%
6	3691	10.2%
8	3619	10.0%
9	3432	9.5%
5	2973	8.2%
10	2906	8.0%
11	2491	6.9%
4	2195	6.0%
12	2069	5.7%
13	1716	4.7%
Other values (29)	7464	20.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2	536	1.5%
3	1393	3.8%
4	2195	6.0%
5	2973	8.2%
6	3691	10.2%
7	3737	10.3%
8	3619	10.0%
9	3432	9.5%
10	2906	8.0%
11	2491	6.9%

Value	Count	Frequency (%)
42	1	< 0.1%
41	1	< 0.1%
39	1	< 0.1%
38	1	< 0.1%
36	2	< 0.1%
35	3	< 0.1%
34	5	< 0.1%
33	3	< 0.1%
32	2	< 0.1%
31	7	< 0.1%

pub_rec
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.7 KiB

0.0	34349
1.0	1888
2.0	46
3.0	8
4.0	2

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	108879
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	34349	94.6%
1.0	1888	5.2%
2.0	46	0.1%
3.0	8	< 0.1%
4.0	2	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	34349	94.6%
1.0	1888	5.2%
2.0	46	0.1%
3.0	8	< 0.1%
4.0	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	70642	64.9%
.	36293	33.3%
1	1888	1.7%
2	46	< 0.1%
3	8	< 0.1%
4	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72586	66.7%
Other Punctuation	36293	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	70642	97.3%
1	1888	2.6%
2	46	0.1%
3	8	< 0.1%
4	2	< 0.1%

Other Punctuation

Value	Count	Frequency (%)
.	36293	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108879	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	70642	64.9%
.	36293	33.3%
1	1888	1.7%
2	46	< 0.1%
3	8	< 0.1%
4	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108879	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	70642	64.9%
.	36293	33.3%
1	1888	1.7%
2	46	< 0.1%
3	8	< 0.1%
4	2	< 0.1%

revol_bal
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	19911
Distinct (%)	54.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11507.32706

Minimum	0
Maximum	61126
Zeros	880
Zeros (%)	2.4%
Negative	0
Negative (%)	0.0%
Memory size	283.7 KiB

Quantile statistics

Minimum	0
5-th percentile	320.6
Q1	3580
median	8500
Q3	15964
95-th percentile	33972.8
Maximum	61126
Range	61126
Interquartile range (IQR)	12384

Descriptive statistics

Standard deviation	10851.19799
Coefficient of variation (CV)	0.9429816263
Kurtosis	2.959222646
Mean	11507.32706
Median Absolute Deviation (MAD)	5686
Skewness	1.616778891
Sum	417635421
Variance	117748497.7
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	880	2.4%
298	14	< 0.1%
255	14	< 0.1%
1	11	< 0.1%
682	10	< 0.1%
1159	9	< 0.1%
39	9	< 0.1%
798	9	< 0.1%
1763	9	< 0.1%
346	9	< 0.1%
Other values (19901)	35319	97.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	880	2.4%
1	11	< 0.1%
2	5	< 0.1%
3	6	< 0.1%
4	3	< 0.1%
5	7	< 0.1%
6	8	< 0.1%
7	4	< 0.1%
8	5	< 0.1%
9	6	< 0.1%

Value	Count	Frequency (%)
61126	1	< 0.1%
61056	1	< 0.1%
61034	1	< 0.1%
61007	1	< 0.1%
60936	1	< 0.1%
60914	1	< 0.1%
60902	1	< 0.1%
60767	1	< 0.1%
60732	1	< 0.1%
60713	1	< 0.1%

revol_util
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	1085
Distinct (%)	3.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	48.63212024

Minimum	0
Maximum	99.9
Zeros	887
Zeros (%)	2.4%
Negative	0
Negative (%)	0.0%
Memory size	283.7 KiB

Quantile statistics

Minimum	0
5-th percentile	2.7
Q1	25.3
median	49
Q3	72.1
95-th percentile	93.5
Maximum	99.9
Range	99.9
Interquartile range (IQR)	46.8

Descriptive statistics

Standard deviation	28.26541893
Coefficient of variation (CV)	0.5812088551
Kurtosis	-1.102439312
Mean	48.63212024
Median Absolute Deviation (MAD)	23.4
Skewness	-0.02541723555
Sum	1765005.54
Variance	798.9339073
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	887	2.4%
0.2	62	0.2%
63	60	0.2%
40.7	58	0.2%
66.7	56	0.2%
46.4	55	0.2%
0.1	54	0.1%
31.2	53	0.1%
61	53	0.1%
27.2	52	0.1%
Other values (1075)	34903	96.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	887	2.4%
0.01	1	< 0.1%
0.03	1	< 0.1%
0.04	1	< 0.1%
0.05	1	< 0.1%
0.1	54	0.1%
0.12	1	< 0.1%
0.16	1	< 0.1%
0.2	62	0.2%
0.3	40	0.1%

Value	Count	Frequency (%)
99.9	22	0.1%
99.8	21	0.1%
99.7	28	0.1%
99.6	20	0.1%
99.5	23	0.1%
99.4	21	0.1%
99.3	25	0.1%
99.2	16	< 0.1%
99.1	23	0.1%
99	27	0.1%

total_acc
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	81
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	21.72986526

Minimum	2
Maximum	90
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	283.7 KiB

Quantile statistics

Minimum	2
5-th percentile	7
Q1	13
median	20
Q3	28
95-th percentile	43
Maximum	90
Range	88
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	11.25061885
Coefficient of variation (CV)	0.5177491307
Kurtosis	0.764402394
Mean	21.72986526
Median Absolute Deviation (MAD)	7
Skewness	0.8502515501
Sum	788642
Variance	126.5764245
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
14	1373	3.8%
15	1370	3.8%
16	1365	3.8%
17	1345	3.7%
20	1331	3.7%
18	1315	3.6%
13	1310	3.6%
21	1297	3.6%
12	1256	3.5%
19	1247	3.4%
Other values (71)	23084	63.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2	3	< 0.1%
3	169	0.5%
4	394	1.1%
5	520	1.4%
6	646	1.8%
7	786	2.2%
8	957	2.6%
9	1021	2.8%
10	1121	3.1%
11	1200	3.3%

Value	Count	Frequency (%)
90	1	< 0.1%
87	1	< 0.1%
81	1	< 0.1%
80	1	< 0.1%
79	1	< 0.1%
78	1	< 0.1%
76	1	< 0.1%
75	2	< 0.1%
74	1	< 0.1%
73	1	< 0.1%

fico_average
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	35
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	716.403604

Minimum	632
Maximum	827
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	283.7 KiB

Quantile statistics

Minimum	632
5-th percentile	667
Q1	687
median	712
Q3	742
95-th percentile	782
Maximum	827
Range	195
Interquartile range (IQR)	55

Descriptive statistics

Standard deviation	35.63689545
Coefficient of variation (CV)	0.04974415993
Kurtosis	-0.5454643541
Mean	716.403604
Median Absolute Deviation (MAD)	25
Skewness	0.4745307574
Sum	26000436
Variance	1269.988317
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=35)

Value	Count	Frequency (%)
702	1953	5.4%
687	1943	5.4%
682	1894	5.2%
692	1893	5.2%
697	1893	5.2%
722	1695	4.7%
677	1693	4.7%
707	1682	4.6%
727	1650	4.5%
717	1631	4.5%
Other values (25)	18366	50.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
632	1	< 0.1%
662	1323	3.6%
667	1510	4.2%
672	1555	4.3%
677	1693	4.7%
682	1894	5.2%
687	1943	5.4%
692	1893	5.2%
697	1893	5.2%
702	1953	5.4%

Value	Count	Frequency (%)
827	1	< 0.1%
822	16	< 0.1%
817	22	0.1%
812	105	0.3%
807	164	0.5%
802	211	0.6%
797	291	0.8%
792	377	1.0%
787	353	1.0%
782	503	1.4%

earliest_cr_line_month
Real number (ℝ_≥0)

ZEROS

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.686110269

Minimum	0
Maximum	11
Zeros	2473
Zeros (%)	6.8%
Negative	0
Negative (%)	0.0%
Memory size	141.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	6
Q3	9
95-th percentile	11
Maximum	11
Range	11
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	3.510318308
Coefficient of variation (CV)	0.6173496717
Kurtosis	-1.306359247
Mean	5.686110269
Median Absolute Deviation (MAD)	3
Skewness	-0.03099699287
Sum	206366
Variance	12.32233462
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
10	3761	10.4%
2	3715	10.2%
9	3632	10.0%
11	3297	9.1%
4	3163	8.7%
1	3001	8.3%
5	2790	7.7%
6	2685	7.4%
8	2646	7.3%
3	2605	7.2%
Other values (2)	4998	13.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2473	6.8%
1	3001	8.3%
2	3715	10.2%
3	2605	7.2%
4	3163	8.7%
5	2790	7.7%
6	2685	7.4%
7	2525	7.0%
8	2646	7.3%
9	3632	10.0%

Value	Count	Frequency (%)
11	3297	9.1%
10	3761	10.4%
9	3632	10.0%
8	2646	7.3%
7	2525	7.0%
6	2685	7.4%
5	2790	7.7%
4	3163	8.7%
3	2605	7.2%
2	3715	10.2%

last_credit_pull_d_month
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.391590665

Minimum	0
Maximum	11
Zeros	1965
Zeros (%)	5.4%
Negative	0
Negative (%)	0.0%
Memory size	141.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	4
median	9
Q3	11
95-th percentile	11
Maximum	11
Range	11
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	3.853328491
Coefficient of variation (CV)	0.5213124841
Kurtosis	-1.146736968
Mean	7.391590665
Median Absolute Deviation (MAD)	2
Skewness	-0.5768306573
Sum	268263
Variance	14.84814046
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
11	15027	41.4%
7	2416	6.7%
3	2320	6.4%
1	2220	6.1%
5	2097	5.8%
0	1965	5.4%
8	1919	5.3%
6	1811	5.0%
2	1752	4.8%
9	1627	4.5%
Other values (2)	3139	8.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1965	5.4%
1	2220	6.1%
2	1752	4.8%
3	2320	6.4%
4	1561	4.3%
5	2097	5.8%
6	1811	5.0%
7	2416	6.7%
8	1919	5.3%
9	1627	4.5%

Value	Count	Frequency (%)
11	15027	41.4%
10	1578	4.3%
9	1627	4.5%
8	1919	5.3%
7	2416	6.7%
6	1811	5.0%
5	2097	5.8%
4	1561	4.3%
3	2320	6.4%
2	1752	4.8%

home_ownership_NONE
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.7 KiB

0	36292
1	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	36293
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	36292	> 99.9%
1	1	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	36292	> 99.9%
1	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	36292	> 99.9%
1	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	36293	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	36292	> 99.9%
1	1	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	36293	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	36292	> 99.9%
1	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	36293	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	36292	> 99.9%
1	1	< 0.1%

home_ownership_OTHER
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.7 KiB

0	36199
1	94

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	36293
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	36199	99.7%
1	94	0.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	36199	99.7%
1	94	0.3%

Most occurring characters

Value	Count	Frequency (%)
0	36199	99.7%
1	94	0.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	36293	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	36199	99.7%
1	94	0.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	36293	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	36199	99.7%
1	94	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	36293	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	36199	99.7%
1	94	0.3%

home_ownership_OWN
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.7 KiB

0	33594
1	2699

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	36293
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	33594	92.6%
1	2699	7.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	33594	92.6%
1	2699	7.4%

Most occurring characters

Value	Count	Frequency (%)
0	33594	92.6%
1	2699	7.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	36293	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	33594	92.6%
1	2699	7.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	36293	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	33594	92.6%
1	2699	7.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	36293	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	33594	92.6%
1	2699	7.4%

home_ownership_RENT
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.7 KiB

0	18374
1	17919

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	36293
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
0	18374	50.6%
1	17919	49.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	18374	50.6%
1	17919	49.4%

Most occurring characters

Value	Count	Frequency (%)
0	18374	50.6%
1	17919	49.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	36293	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	18374	50.6%
1	17919	49.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	36293	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	18374	50.6%
1	17919	49.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	36293	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	18374	50.6%
1	17919	49.4%

verification_status_Source Verified
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.7 KiB

0	26967
1	9326

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	36293
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
0	26967	74.3%
1	9326	25.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	26967	74.3%
1	9326	25.7%

Most occurring characters

Value	Count	Frequency (%)
0	26967	74.3%
1	9326	25.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	36293	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	26967	74.3%
1	9326	25.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	36293	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	26967	74.3%
1	9326	25.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	36293	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	26967	74.3%
1	9326	25.7%

verification_status_Verified
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.7 KiB

0	25361
1	10932

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	36293
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	25361	69.9%
1	10932	30.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	25361	69.9%
1	10932	30.1%

Most occurring characters

Value	Count	Frequency (%)
0	25361	69.9%
1	10932	30.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	36293	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	25361	69.9%
1	10932	30.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	36293	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	25361	69.9%
1	10932	30.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	36293	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	25361	69.9%
1	10932	30.1%

purpose_credit_card
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.7 KiB

0	31612
1	4681

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	36293
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	31612	87.1%
1	4681	12.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	31612	87.1%
1	4681	12.9%

Most occurring characters

Value	Count	Frequency (%)
0	31612	87.1%
1	4681	12.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	36293	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	31612	87.1%
1	4681	12.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	36293	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	31612	87.1%
1	4681	12.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	36293	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	31612	87.1%
1	4681	12.9%

purpose_debt_consolidation
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.7 KiB

0	19197
1	17096

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	36293
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	19197	52.9%
1	17096	47.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	19197	52.9%
1	17096	47.1%

Most occurring characters

Value	Count	Frequency (%)
0	19197	52.9%
1	17096	47.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	36293	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	19197	52.9%
1	17096	47.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	36293	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	19197	52.9%
1	17096	47.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	36293	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	19197	52.9%
1	17096	47.1%

purpose_educational
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.7 KiB

0	35992
1	301

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	36293
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	35992	99.2%
1	301	0.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	35992	99.2%
1	301	0.8%

Most occurring characters

Value	Count	Frequency (%)
0	35992	99.2%
1	301	0.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	36293	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	35992	99.2%
1	301	0.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	36293	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	35992	99.2%
1	301	0.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	36293	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	35992	99.2%
1	301	0.8%

purpose_home_improvement
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.7 KiB

0	33666
1	2627

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	36293
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	33666	92.8%
1	2627	7.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	33666	92.8%
1	2627	7.2%

Most occurring characters

Value	Count	Frequency (%)
0	33666	92.8%
1	2627	7.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	36293	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	33666	92.8%
1	2627	7.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	36293	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	33666	92.8%
1	2627	7.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	36293	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	33666	92.8%
1	2627	7.2%

purpose_house
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.7 KiB

0	35957
1	336

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	36293
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	35957	99.1%
1	336	0.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	35957	99.1%
1	336	0.9%

Most occurring characters

Value	Count	Frequency (%)
0	35957	99.1%
1	336	0.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	36293	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	35957	99.1%
1	336	0.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	36293	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	35957	99.1%
1	336	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	36293	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	35957	99.1%
1	336	0.9%

purpose_major_purchase
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.7 KiB

0	34244
1	2049

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	36293
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	34244	94.4%
1	2049	5.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	34244	94.4%
1	2049	5.6%

Most occurring characters

Value	Count	Frequency (%)
0	34244	94.4%
1	2049	5.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	36293	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	34244	94.4%
1	2049	5.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	36293	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	34244	94.4%
1	2049	5.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	36293	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	34244	94.4%
1	2049	5.6%

purpose_medical
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.7 KiB

0	35651
1	642

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	36293
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	35651	98.2%
1	642	1.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	35651	98.2%
1	642	1.8%

Most occurring characters

Value	Count	Frequency (%)
0	35651	98.2%
1	642	1.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	36293	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	35651	98.2%
1	642	1.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	36293	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	35651	98.2%
1	642	1.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	36293	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	35651	98.2%
1	642	1.8%

purpose_moving
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.7 KiB

0	35749
1	544

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	36293
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	35749	98.5%
1	544	1.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	35749	98.5%
1	544	1.5%

Most occurring characters

Value	Count	Frequency (%)
0	35749	98.5%
1	544	1.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	36293	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	35749	98.5%
1	544	1.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	36293	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	35749	98.5%
1	544	1.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	36293	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	35749	98.5%
1	544	1.5%

purpose_other
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.7 KiB

0	32660
1	3633

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	36293
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	32660	90.0%
1	3633	10.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	32660	90.0%
1	3633	10.0%

Most occurring characters

Value	Count	Frequency (%)
0	32660	90.0%
1	3633	10.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	36293	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	32660	90.0%
1	3633	10.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	36293	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	32660	90.0%
1	3633	10.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	36293	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	32660	90.0%
1	3633	10.0%

purpose_renewable_energy
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.7 KiB

0	36203
1	90

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	36293
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	36203	99.8%
1	90	0.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	36203	99.8%
1	90	0.2%

Most occurring characters

Value	Count	Frequency (%)
0	36203	99.8%
1	90	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	36293	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	36203	99.8%
1	90	0.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	36293	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	36203	99.8%
1	90	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	36293	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	36203	99.8%
1	90	0.2%

purpose_small_business
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.7 KiB

0	34696
1	1597

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	36293
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	34696	95.6%
1	1597	4.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	34696	95.6%
1	1597	4.4%

Most occurring characters

Value	Count	Frequency (%)
0	34696	95.6%
1	1597	4.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	36293	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	34696	95.6%
1	1597	4.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	36293	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	34696	95.6%
1	1597	4.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	36293	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	34696	95.6%
1	1597	4.4%

purpose_vacation
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.7 KiB

0	35949
1	344

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	36293
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	35949	99.1%
1	344	0.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	35949	99.1%
1	344	0.9%

Most occurring characters

Value	Count	Frequency (%)
0	35949	99.1%
1	344	0.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	36293	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	35949	99.1%
1	344	0.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	36293	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	35949	99.1%
1	344	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	36293	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	35949	99.1%
1	344	0.9%

purpose_wedding
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.7 KiB

0	35390
1	903

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	36293
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	35390	97.5%
1	903	2.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	35390	97.5%
1	903	2.5%

Most occurring characters

Value	Count	Frequency (%)
0	35390	97.5%
1	903	2.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	36293	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	35390	97.5%
1	903	2.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	36293	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	35390	97.5%
1	903	2.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	36293	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	35390	97.5%
1	903	2.5%

region_Mountain
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.7 KiB

0	33774
1	2519

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	36293
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	33774	93.1%
1	2519	6.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	33774	93.1%
1	2519	6.9%

Most occurring characters

Value	Count	Frequency (%)
0	33774	93.1%
1	2519	6.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	36293	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	33774	93.1%
1	2519	6.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	36293	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	33774	93.1%
1	2519	6.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	36293	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	33774	93.1%
1	2519	6.9%

region_Northeast
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.7 KiB

0	27409
1	8884

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	36293
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	27409	75.5%
1	8884	24.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	27409	75.5%
1	8884	24.5%

Most occurring characters

Value	Count	Frequency (%)
0	27409	75.5%
1	8884	24.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	36293	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	27409	75.5%
1	8884	24.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	36293	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	27409	75.5%
1	8884	24.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	36293	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	27409	75.5%
1	8884	24.5%

region_Pacific
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.7 KiB

0	28392
1	7901

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	36293
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	28392	78.2%
1	7901	21.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	28392	78.2%
1	7901	21.8%

Most occurring characters

Value	Count	Frequency (%)
0	28392	78.2%
1	7901	21.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	36293	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	28392	78.2%
1	7901	21.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	36293	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	28392	78.2%
1	7901	21.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	36293	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	28392	78.2%
1	7901	21.8%

region_Plains
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.7 KiB

0	35703
1	590

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	36293
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	35703	98.4%
1	590	1.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	35703	98.4%
1	590	1.6%

Most occurring characters

Value	Count	Frequency (%)
0	35703	98.4%
1	590	1.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	36293	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	35703	98.4%
1	590	1.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	36293	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	35703	98.4%
1	590	1.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	36293	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	35703	98.4%
1	590	1.6%

region_South
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.7 KiB

0	24662
1	11631

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	36293
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	24662	68.0%
1	11631	32.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	24662	68.0%
1	11631	32.0%

Most occurring characters

Value	Count	Frequency (%)
0	24662	68.0%
1	11631	32.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	36293	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	24662	68.0%
1	11631	32.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	36293	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	24662	68.0%
1	11631	32.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	36293	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	24662	68.0%
1	11631	32.0%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	df_index	loan_amnt	term	int_rate	installment	grade	emp_length	annual_inc	loan_status	dti	inq_last_6mths	open_acc	revol_bal	revol_util	total_acc	fico_average	earliest_cr_line_month	last_credit_pull_d_month	home_ownership_OWN	home_ownership_RENT	verification_status_Source Verified	verification_status_Verified	purpose_credit_card	purpose_debt_consolidation	purpose_other	purpose_small_business	purpose_wedding	region_Mountain	region_Pacific	region_South
0	0	5000.0	36	10.65	162.87	1	1	24000.0	1	27.65	1.0	3.0	13648.0	83.7	9.0	737.0	4	11	0	1	0	1	1	0	0	0	0	1	0	0
1	1	2500.0	60	15.27	59.83	2	10	30000.0	0	1.00	5.0	3.0	1687.0	9.4	4.0	742.0	0	11	0	1	1	0	0	0	0	0	0	0	0	1
2	2	2400.0	36	15.96	84.33	2	1	12252.0	1	8.72	2.0	2.0	2956.0	98.5	10.0	737.0	9	11	0	1	0	0	0	0	0	1	0	0	0	0
3	3	10000.0	36	13.49	339.31	2	1	49200.0	1	20.00	1.0	10.0	5598.0	21.0	37.0	692.0	3	0	0	1	1	0	0	0	1	0	0	0	1	0
4	5	5000.0	36	7.90	156.46	0	3	36000.0	1	11.20	3.0	9.0	7963.0	28.3	12.0	732.0	9	4	0	1	1	0	0	0	0	0	1	1	0	0
5	6	7000.0	60	15.96	170.08	2	8	47004.0	1	23.51	1.0	7.0	17726.0	85.6	11.0	692.0	5	11	0	1	0	0	0	1	0	0	0	0	0	1
6	7	3000.0	36	18.64	109.43	4	9	48000.0	1	5.35	2.0	4.0	8221.0	87.5	4.0	662.0	4	2	0	1	1	0	0	0	0	0	0	0	1	0
7	8	5600.0	60	21.28	152.39	5	4	40000.0	0	5.55	2.0	11.0	5210.0	32.6	13.0	677.0	0	11	1	0	1	0	0	0	0	1	0	0	1	0
8	9	5375.0	60	12.69	121.45	1	10	15000.0	0	18.08	0.0	2.0	9279.0	36.5	3.0	727.0	11	11	0	1	0	1	0	0	1	0	0	0	0	1
9	10	6500.0	60	14.65	153.45	2	5	72000.0	1	16.12	2.0	14.0	4032.0	20.6	23.0	697.0	4	2	1	0	0	0	0	1	0	0	0	1	0	0

Last rows

	df_index	loan_amnt	term	int_rate	installment	grade	emp_length	annual_inc	loan_status	dti	inq_last_6mths	open_acc	revol_bal	revol_util	total_acc	fico_average	earliest_cr_line_month	last_credit_pull_d_month	home_ownership_OWN	home_ownership_RENT	purpose_credit_card	purpose_debt_consolidation	purpose_educational	purpose_home_improvement	purpose_other	purpose_vacation	region_Northeast	region_Pacific	region_South
36283	39723	18500.0	36	15.33	644.30	5	0	90000.0	1	5.24	0.0	8.0	22379.0	62.2	15.0	662.0	10	3	0	1	1	0	0	0	0	0	1	0	0
36284	39724	4000.0	36	7.75	124.89	0	0	61800.0	1	3.46	0.0	12.0	1918.0	17.1	16.0	747.0	11	1	1	0	0	0	0	0	1	0	1	0	0
36285	39725	12750.0	36	15.33	444.05	5	0	60000.0	1	19.52	2.0	9.0	33074.0	68.8	9.0	667.0	7	1	0	1	1	0	0	0	0	0	1	0	0
36286	39726	5400.0	36	12.17	179.80	3	0	35000.0	1	7.10	2.0	10.0	2040.0	36.2	21.0	662.0	5	4	0	0	0	1	0	0	0	0	1	0	0
36287	39727	3000.0	36	8.70	94.98	1	5	62000.0	1	12.23	0.0	10.0	3678.0	30.7	14.0	737.0	3	4	0	0	0	0	0	1	0	0	0	0	1
36288	39730	3000.0	36	7.75	93.67	0	9	50000.0	1	5.35	0.0	17.0	21050.0	0.7	29.0	762.0	11	1	1	0	0	0	0	0	0	1	0	1	0
36289	39731	3000.0	36	7.75	93.67	0	1	125000.0	1	2.14	0.0	15.0	21050.0	1.0	24.0	762.0	11	1	1	0	0	0	0	1	0	0	0	1	0
36290	39732	4000.0	36	10.91	130.79	2	0	18000.0	1	18.00	1.0	4.0	5533.0	79.6	5.0	707.0	1	6	0	1	0	0	0	0	0	0	0	0	1
36291	39733	2000.0	36	8.70	63.32	1	10	70000.0	1	6.07	1.0	13.0	5967.0	19.8	17.0	712.0	1	1	0	1	1	0	0	0	0	0	1	0	0
36292	39734	4000.0	36	7.43	124.31	0	10	40000.0	1	3.45	0.0	2.0	330.0	11.0	4.0	772.0	9	5	0	1	0	0	1	0	0	0	1	0	0

Overview

Variables

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block